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Graph Neural Networks: A Feature and Structure Learning Approach.
Graph Neural Networks: A Feature and Structure Learning Approach.
상세정보
- Material Type
- 학위논문
- 0016617672
- Date and Time of Latest Transaction
- 20230206105138
- ISBN
- 9798819360019
- DDC
- 004
- Author
- Gao, Hongyang.
- Title/Author
- Graph Neural Networks: A Feature and Structure Learning Approach.
- Publish Info
- [S.l.] : Texas A&M University., 2020
- Publish Info
- Ann Arbor : ProQuest Dissertations & Theses, 2020
- Material Info
- 136 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 84-01, Section: B.
- General Note
- Advisor: Ji, Shuiwang.
- 학위논문주기
- Thesis (Ph.D.)--Texas A&M University, 2020.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Computer science.
- Subject Added Entry-Topical Term
- Computer engineering.
- Index Term-Uncontrolled
- Deep Learning
- Index Term-Uncontrolled
- Graph Neural Network
- Index Term-Uncontrolled
- Deep Neural Networks
- Index Term-Uncontrolled
- Channel-wise Graph Attention Operator
- Added Entry-Corporate Name
- Texas A&M University Computer Science and Engineering
- Host Item Entry
- Dissertations Abstracts International. 84-01B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- 소장사항
-
202302 2023
- Control Number
- joongbu:623720
MARC
008230216s2020 ulk 00 kor■001000016617672
■00520230206105138
■020 ▼a9798819360019
■035 ▼a(MiAaPQ)AAI29241269
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a004
■1001 ▼aGao, Hongyang.
■24510▼aGraph Neural Networks: A Feature and Structure Learning Approach.
■260 ▼a[S.l.]▼bTexas A&M University. ▼c2020
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2020
■300 ▼a136 p.
■500 ▼aSource: Dissertations Abstracts International, Volume: 84-01, Section: B.
■500 ▼aAdvisor: Ji, Shuiwang.
■5021 ▼aThesis (Ph.D.)--Texas A&M University, 2020.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0803.
■650 4▼aComputer science.
■650 4▼aComputer engineering.
■653 ▼aDeep Learning
■653 ▼aGraph Neural Network
■653 ▼aDeep Neural Networks
■653 ▼aChannel-wise Graph Attention Operator
■690 ▼a0984
■690 ▼a0464
■71020▼aTexas A&M University▼bComputer Science and Engineering.
■7730 ▼tDissertations Abstracts International▼g84-01B.
■773 ▼tDissertation Abstract International
■790 ▼a0803
■791 ▼aPh.D.
■792 ▼a2020
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16617672▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202302▼f2023
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